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Alzheimer disease in the United States (2010–2050) estimated using the 2010 census
Open accessAbstract
OBJECTIVES: To provide updated estimates of Alzheimer disease (AD) dementia prevalence in the United States from 2010 through 2050. METHODS: Probabilities of AD dementia incidence were calculated from a longitudinal, population-based study including substantial numbers of both black and white participants. Incidence probabilities for single year of age, race, and level of education were calculated using weighted logistic regression and AD dementia diagnosis from 2,577 detailed clinical evaluations of 1,913 people obtained from stratified random samples of previously disease-free individuals in a population of 10,800. These were combined with US mortality, education, and new US Census Bureau estimates of current and future population to estimate current and future numbers of people with AD dementia in the United States. RESULTS: We estimated that in 2010, there were 4.7 million individuals aged 65 years or older with AD dementia (95% confidence interval [CI] = 4.0-5.5). Of these, 0.7 million (95% CI = 0.4-0.9) were between 65 and 74 years, 2.3 million were between 75 and 84 years (95% CI = 1.7-2.9), and 1.8 million were 85 years or older (95% CI = 1.4-2.2). The total number of people with AD dementia in 2050 is projected to be 13.8 million, with 7.0 million aged 85 years or older. CONCLUSION: The number of people in the United States with AD dementia will increase dramatically in the next 40 years unless preventive measures are developed.
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“As the U.S. population ages, the number of people with Alzheimer’s disease and related dementias (ADRD) is rapidly increasing,1,2”
From Review of Artificial Intelligence for Clinical Use in Alzheimer's Disease and Related Dementias (2026) · cites this paper as [1]
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“Sex is an important factor that contributes to the clinical and biological heterogeneities in Alzheimer’s disease (AD)”
From Sex-specific DNA methylation differences in Alzheimer’s disease pathology (2021) · cites this paper as [2]
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“The aging of the baby-boom generation will significantly increase the number of people in the United States with Alzheimer's.70”
From 2023 Alzheimer's disease facts and figures (2023) · cites this paper as [70]
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“The aging of the population, including the baby‐boom generation, will significantly increase the number of people in the United States with Alzheimer's dementia.”
From 2024 Alzheimer's disease facts and figures (2024) · cites this paper as [78]
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“Of all AD patients in the United States, around two-thirds are women [2].”
From Sex specific molecular networks and key drivers of Alzheimer’s disease (2023) · cites this paper as [2]
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“Almost two-thirds of AD patients in the U.S. are women [2]”
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Citations
Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,385
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
Alzheimer Disease in the US Population: Prevalence Estimates Using the 2000 Census
Hebert, L. E., Scherr, P. A., Bienias, J. L., Bennett, D. A., & Evans, D. A. (2003) · Archives of Neurology · doi:10.1001/archneur.60.8.1119 · Cited by 2,168
Self-citationPrevalence of Dementia in the United States: The Aging, Demographics, and Memory Study
Plassman, B. L., Langa, K. M., Fisher, G. G., Heeringa, S. G., Weir, D. R., Ofstedal, M. B., Burke, J. R., Hurd, M. D., Potter, G. G., Rodgers, W. L., et al. (2007) · Neuroepidemiology · doi:10.1159/000109998 · Cited by 1,932
Brookmeyer, R., Gray, S. G., & Kawas, C. H. (1998) · American Journal of Public Health · doi:10.2105/ajph.88.9.1337 · Cited by 1,802
2005 American Community Survey 1-Year Estimates
(2016) · Cited by 1,241
Missed and Delayed Diagnosis of Dementia in Primary Care: Prevalence and Contributing Factors
Bradford, A., Kunik, M. E., Schulz, P., Williams, S. P., & Singh, H. (2009) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e3181a6bebc · Cited by 969
Glover, J. W. (2010) · Cited by 917
Age-specific incidence rates of Alzheimer’s disease: The Baltimore Longitudinal Study of Aging
Kawas, C., Gray, S., Brookmeyer, R., Fozard, J., & Zonderman, A. (2000) · Neurology · doi:10.1212/wnl.54.11.2072 · Cited by 472
Research works printed but not linked: 1
- Bienias JL Kott PS Evans DA. Applying the delete-a-group jacknife varience estimator to analyses of data from a complex longitudinal survey . Proceedings of the Annual Meeting of the American Statistical Association Section on Survey Research Methods. Alexandria: American Statistical Association; 2003:539–544.
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Sun, Y., Lee, H.-J., Yang, S.-C., Chen, T., Lin, K.-N., Lin, C., Wang, P., Tang, L.-Y., & Chiu, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100303 · Cited by 232
Yoon, S. P., Grewal, D. S., Thompson, A. C., Polascik, B. W., Dunn, C. L., Burke, J. R., & Fekrat, S. (2019) · Ophthalmology Retina · doi:10.1016/j.oret.2019.02.002 · Cited by 230
Ketogenic diets and chronic disease: weighing the benefits against the risks
Crosby, L., Davis, B., Joshi, S., Jardine, M., Paul, J., Neola, M., & Barnard, N. D. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.702802 · Cited by 229
Regenerative Stem Cell Therapy for Neurodegenerative Diseases: An Overview
Sivandzade, F., & Cucullo, L. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22042153 · Cited by 224
“1 million individuals over the age of 65 [82].”
BackgroundOxidant/Antioxidant Imbalance in Alzheimer’s Disease: Therapeutic and Diagnostic Prospects
Wojsiat, J., Zoltowska, K. M., Laskowska-Kaszub, K., & Wojda, U. (2018) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2018/6435861 · Cited by 221
Role of chronic neuroinflammation in neuroplasticity and cognitive function: A hypothesis
Lecca, D., Jung, Y. J., Scerba, M. T., Hwang, I., Kim, Y. K., Kim, S., Modrow, S., Tweedie, D., Hsueh, S., Liu, D., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12610 · Cited by 225
A review on advances of treatment modalities for Alzheimer's disease
Thoe, E. S., Fauzi, A., Tang, Y.-Q., Chamyuang, S., & Chia, A. Y. Y. (2021) · Life Sciences · doi:10.1016/j.lfs.2021.119129 · Cited by 234
Caregiver Health: Health of Caregivers of Alzheimer’s and Other Dementia Patients
Richardson, T. J., Lee, S. J., Berg‐Weger, M., & Grossberg, G. T. (2013) · Current Psychiatry Reports · doi:10.1007/s11920-013-0367-2 · Cited by 219
TDP-43 depletion in microglia promotes amyloid clearance but also induces synapse loss
Paolicelli, R. C., Jawaid, A., Henstridge, C. M., Valeri, A., Merlini, M., Robinson, J. L., Lee, E. B., Rose, J., Appel, S., Lee, V. M.-Y., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.037 · Cited by 239
Gangliosides: glycosphingolipids essential for normal neural development and function
Schengrund, C.-L. (2015) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2015.03.007 · Cited by 211
The Utility of Cerebral Blood Flow as a Biomarker of Preclinical Alzheimer’s Disease
Hays, C. C., Zlatar, Z. Z., & Wierenga, C. E. (2016) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-015-0261-z · Cited by 213
Wang, H., Jiang, T., Li, W., Gao, N., & Zhang, T. (2017) · Toxicology Letters · doi:10.1016/j.toxlet.2017.10.021 · Cited by 214
Dong, X. Z., Li, S., Sun, J., Li, Y., & Zhang, D. (2020) · Nutrients · doi:10.3390/nu12030840 · Cited by 217
Raman Spectroscopy: An Emerging Tool in Neurodegenerative Disease Research and Diagnosis
Devitt, G., Howard, K., Mudher, A. K., & Mahajan, S. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.7b00413 · Cited by 210
Liu, S., Sun, Y.-P., Gao, X.-L., & Sui, Y. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.255995 · Cited by 213
Sex: A Significant Risk Factor for Neurodevelopmental and Neurodegenerative Disorders
Pinares-Garcia, P., Stratikopoulos, M., Zagato, A., Loke, H., & Lee, J. (2018) · Brain Sciences · doi:10.3390/brainsci8080154 · Cited by 200
Nanotherapeutics for Nose-to-Brain Drug Delivery: An Approach to Bypass the Blood Brain Barrier
Lee, D., & Minko, T. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13122049 · Cited by 227
Weuve, J., Bennett, E. E., Ranker, L., Gianattasio, K. Z., Pedde, M., Adar, S. D., Yanosky, J. D., & Power, M. C. (2021) · Environmental Health Perspectives · doi:10.1289/ehp8716 · Cited by 209
“This review encom-passed investigations of ADRD, along with its related cognitive precursors and manifestations (lower and worsening cognitive performance), and neuroimaging indices of dementia-related pathology.”
InfluentialSelf-citationAlzheimer’s Risk Factors Age, APOE Genotype, and Sex Drive Distinct Molecular Pathways
Zhao, N., Ren, Y., Yamazaki, Y., Qiao, W., Li, F., Felton, L. M., Mahmoudiandehkordi, S., Kueider-Paisley, A., Sonoustoun, B., Arnold, M., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.02.034 · Cited by 225
Mitchell, S. L. (2015) · New England Journal of Medicine · doi:10.1056/nejmcp1412652 · Cited by 216
Modifiable Risk Factors for Alzheimer’s Disease
Edwards III, G. A., Gamez, N., Escobedo Jr., G., Calderon, O., & Moreno-Gonzalez, I. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00146 · Cited by 253
Shamrat, F. M. J. M., Akter, S., Azam, S., Karim, A., Ghosh, P., Tasnim, Z., Hasib, K. M., Boer, F. D., & Ahmed, K. (2023) · IEEE Access · doi:10.1109/access.2023.3244952 · Cited by 226
Improving and Accelerating Drug Development for Nervous System Disorders
Pankevich, D. E., Altevogt, B. M., Dunlop, J., Gage, F. H., & Hyman, S. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.007 · Cited by 208
Ancestral origin of ApoE ε4 Alzheimer disease risk in Puerto Rican and African American populations
Rajabli, F., Feliciano, B. E., Celis, K., Hamilton-Nelson, K. L., Whitehead, P. L., Adams, L. D., Bussies, P. L., Manrique, C. P., Rodriguez, A., Rodriguez, V., et al. (2018) · PLOS Genetics · doi:10.1371/journal.pgen.1007791 · Cited by 206
Brkic, M., Balusu, S., Libert, C., & Vandenbroucke, R. E. (2015) · Mediators of Inflammation · doi:10.1155/2015/620581 · Cited by 205
Brain Pathology Contributes to Simultaneous Change in Physical Frailty and Cognition in Old Age
Buchman, A. S., Yu, L., Wilson, R. S., Boyle, P. A., Schneider, J. A., Bennett, D. A., & Kritchevsky, S. B. (2014) · The Journals of Gerontology Series A · doi:10.1093/gerona/glu117 · Cited by 211
Sex and APOE ε4 genotype modify the Alzheimer’s disease serum metabolome
Arnold, M., Nho, K., Kueider-Paisley, A., Massaro, T., Huynh, K., Brauner, B., MahmoudianDehkordi, S., Louie, G., Moseley, M. A., Thompson, J. W., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14959-w · Cited by 202
Wu, L., & Sun, D. (2017) · Scientific Reports · doi:10.1038/srep41317 · Cited by 208
Association Between Oral Health and Cognitive Status: A Systematic Review
Wu, B., Fillenbaum, G. G., Plassman, B. L., & Guo, L. (2016) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14036 · Cited by 205
Causes and Patterns of Dementia: An Update in the Era of Redefining Alzheimer's Disease
James, B. D., & Bennett, D. A. (2019) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040218-043758 · Cited by 213
The Cholinergic System, the Adrenergic System and the Neuropathology of Alzheimer’s Disease
Bekdash, R. A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22031273 · Cited by 222
The Effects of Stress on Cognitive Aging, Physiology and Emotion (ESCAPE) Project
Scott, S. B., Graham-Engeland, J. E., Engeland, C. G., Smyth, J. M., Almeida, D. M., Katz, M. J., Lipton, R. B., Mogle, J. A., Munoz, E., Ram, N., et al. (2015) · BMC Psychiatry · doi:10.1186/s12888-015-0497-7 · Cited by 197
Recent advances in the application of metabolomics to Alzheimer's Disease
Trushina, E. V., & Mielke, M. M. (2013) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2013.06.014 · Cited by 200
Treatment for Rheumatoid Arthritis and Risk of Alzheimer’s Disease: A Nested Case-Control Analysis
Chou, R. C., Kane, M., Ghimire, S., Gautam, S., & Gui, J. (2016) · CNS Drugs · doi:10.1007/s40263-016-0374-z · Cited by 194
Direct and indirect cost of managing alzheimer’s disease and related dementias in the United States
Deb, A., Thornton, J. D., Sambamoorthi, U., & Innes, K. E. (2017) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1080/14737167.2017.1313118 · Cited by 197
Lee, M., Whitsel, E., Avery, C., Hughes, T. M., Griswold, M. E., Sedaghat, S., Gottesman, R. F., Mosley, T. H., Heiss, G., & Lutsey, P. L. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.19672 · Cited by 179
Biomarkers of lipid peroxidation in Alzheimer disease (AD): an update
Bradley‐Whitman, M. A., & Lovell, M. A. (2015) · Archives of Toxicology · doi:10.1007/s00204-015-1517-6 · Cited by 192
Evaluation of Recent Intranasal Drug Delivery Systems to the Central Nervous System
Crowe, T. P., & Hsu, W. H. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics14030629 · Cited by 208
“Alzheimer’s Disease (AD) currently affects nearly 5 million Americans, incurring an annual estimated societal cost of >USD 100 billion [1,2].”
BackgroundDuara, R., & Barker, W. (2022) · Neurotherapeutics · doi:10.1007/s13311-022-01185-z · Cited by 187
The involvement of NLRP3 inflammasome in the treatment of Alzheimer’s disease
Feng, Y.-S., Tan, Z., Wu, L., Dong, F., & Zhang, F. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101192 · Cited by 186
Devassy, J. G., Leng, S., Gabbs, M., Monirujjaman, M., & Aukema, H. M. (2016) · Advances in Nutrition · doi:10.3945/an.116.012187 · Cited by 192
Genomic variants, genes, and pathways of Alzheimer's disease: An overview
Naj, A. C., & Schellenberg, G. D. (2016) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32499 · Cited by 186
López, O. L., & Kuller, L. H. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804766-8.00009-1 · Cited by 196
Diagnostic, Prognostic, and Mechanistic Biomarkers of Diabetes Mellitus-Associated Cognitive Decline
Ehtewish, H., Arredouani, A., & El‐Agnaf, O. M. A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23116144 · Cited by 189
“Alzheimer’s disease (AD) is the most common cause of dementia, affecting 60–70% of individuals aged 65 years or older [2].”
BackgroundMagistri, M., Velmeshev, D., Makhmutova, M., & Faghihi, M. A. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150398 · Cited by 175
Novel Therapeutic Approaches for Alzheimer’s Disease: An Updated Review
Yu, T.-W., Lane, H., & Lin, C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22158208 · Cited by 190
“In the United States, the prevalence of AD is approximately 3% in people aged 65–74, 17% in people aged 75–84, and 32% in people aged 85 or older [5].”
BackgroundDeaths in the United States among persons with Alzheimer's disease (2010–2050)
Weuve, J., Hebert, L. E., Scherr, P. A., & Evans, D. A. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.01.004 · Cited by 173
Self-citationConcomitant vascular and neurodegenerative pathologies double the risk of dementia
Azarpazhooh, M. R., Avan, A., Cipriano, L. E., Muñoz, D. G., Sposato, L. A., & Hachinski, V. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.07.755 · Cited by 180
Cholesterol as a causative factor in Alzheimer's disease: a debatable hypothesis
Wood, W. G., Li, L., Müller, W. E., & Eckert, G. P. (2014) · Journal of Neurochemistry · doi:10.1111/jnc.12637 · Cited by 194
Estrogens, inflammation and cognition
Au, A., Feher, A., McPhee, L., Jessa, A., Oh, S. J., & Einstein, G. (2016) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2016.01.002 · Cited by 190
Saturated and trans fats and dementia: a systematic review
Barnard, N. D., Bunner, A. E., & Agarwal, U. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.02.030 · Cited by 176
Metabolism: A Novel Shared Link between Diabetes Mellitus and Alzheimer’s Disease
Sun, Y., Ma, C., Sun, H. J., Wang, H., Wei, P., Zhou, Z., Wang, H., Pi, C., Shi, Y., & He, X. (2020) · Journal of Diabetes Research · doi:10.1155/2020/4981814 · Cited by 181
Orrell, M. W., Yates, L., Leung, P., Kang, S., Hoare, Z., Whitaker, C. J., Burns, A. S., Knapp, M. R. J., Leroi, I., Moniz-Cook, E. D., et al. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002269 · Cited by 193
AAVrh.10-Mediated APOE2 Central Nervous System Gene Therapy for APOE4-Associated Alzheimer's Disease
Rosenberg, J. B., Kaplitt, M. G., De, B. P., Chen, A., Flagiello, T., Salami, C., Pey, E., Zhao, L., Ricart Arbona, R. J., Monette, S., et al. (2018) · Human Gene Therapy Clinical Development · doi:10.1089/humc.2017.231 · Cited by 176
Gallaway, P. J., Miyake, H., Buchowski, M. S., Shimada, M., YOSHITAKE, Y., Kim, A., & Hongu, N. K. (2017) · Brain Sciences · doi:10.3390/brainsci7020022 · Cited by 177
Higher RBC EPA + DHA corresponds with larger total brain and hippocampal volumes: WHIMS-MRI Study
Pottala, J. V., Yaffe, K., Robinson, J. G., Espeland, M. A., Wallace, R., & Harris, W. S. (2014) · Neurology · doi:10.1212/wnl.0000000000000080 · Cited by 169
Rabinovici, G. D. (2019) · Continuum · doi:10.1212/con.0000000000000700 · Cited by 170
Perioperative cognitive trajectory in adults
Nadelson, M. R., Sanders, R. D., & Avidan, M. S. (2014) · British Journal of Anaesthesia · doi:10.1093/bja/aet420 · Cited by 168
Recent Progress in Alzheimer’s Disease Research, Part 2: Genetics and Epidemiology
Robinson, M. J., Lee, B. Y., & Hane, F. T. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161149 · Cited by 179
Tangen, G. G., Engedal, K., Bergland, A., Moger, T. A., & Mengshoel, A. M. (2014) · Physical Therapy · doi:10.2522/ptj.20130298 · Cited by 174
Bavisotto, C. C., Scalia, F., Marino, A., Carlisi, D., Bucchieri, F., de Macario, E. C., Macario, A. J. L., Cappello, F., & Campanella, C. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20020434 · Cited by 169
Molecular Determinants of blood–brain Barrier Permeation
Geldenhuys, W. J., Mohammad, A. S., Adkins, C. E., & Lockman, P. R. (2015) · Therapeutic Delivery · doi:10.4155/tde.15.32 · Cited by 179
Gene-environment interactions in Alzheimer's disease: A potential path to precision medicine
Eid, A., Mhatre, I., & Richardson, J. R. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.03.005 · Cited by 164
Origins, Biology, and Diseases of Tissue Macrophages
Cox, N., Pokrovskii, M. V., Vicario, R., & Geissmann, F. (2021) · Annual Review of Immunology · doi:10.1146/annurev-immunol-093019-111748 · Cited by 171
Dorninger, F., Forss‐Petter, S., & Berger, J. (2017) · FEBS Letters · doi:10.1002/1873-3468.12788 · Cited by 165
Lucey, B. P., Wisch, J. K., Boerwinkle, A. H., Landsness, E. C., Toedebusch, C. D., McLeland, J., Butt, O. H., Hassenstab, J. J., Morris, J. C., Ances, B. M., et al. (2021) · Brain · doi:10.1093/brain/awab272 · Cited by 162
Cognitive impairment in the U.S.: Lifetime risk, age at onset, and years impaired
Hale, J. M., Schneider, D. C., Mehta, N. K., & Myrskylä, M. (2020) · SSM - Population Health · doi:10.1016/j.ssmph.2020.100577 · Cited by 175
Robinson, J. L., Molina-Porcel, L., Corrada, M. M., Raible, K., Lee, E. B., Lee, V. M.-Y., Kawas, C. H., & Trojanowski, J. Q. (2014) · Brain · doi:10.1093/brain/awu190 · Cited by 157
Sex Differences in Alzheimer’s Disease
Aggarwal, N. T., & Mielke, M. M. (2023) · Neurologic Clinics · doi:10.1016/j.ncl.2023.01.001 · Cited by 184
Alzheimer Disease and Its Growing Epidemic
Hickman, R. A., Faustin, A., & Wısnıewskı, T. (2016) · Neurologic Clinics · doi:10.1016/j.ncl.2016.06.009 · Cited by 163
Goren, A., Montgomery, W. S., Kahle‐Wrobleski, K., Nakamura, T., & Ueda, K. (2016) · BMC Geriatrics · doi:10.1186/s12877-016-0298-y · Cited by 175
McKenzie, A. T., Moyon, S., Wang, M., Katsyv, I., Song, W.-M., Zhou, X., Dammer, E. B., Duong, D. M., Aaker, J., Zhao, Y., et al. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0219-3 · Cited by 154
Current and novel therapeutic molecules and targets in Alzheimer's disease
Kumar, A., Nisha, C. M., Silakari, C., Sharma, I., Anusha, K., Gupta, N., Nair, P., Tripathi, T., & Kumar, A. (2015) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2015.04.001 · Cited by 154
Measures of Sleep–Wake Patterns and Risk of Mild Cognitive Impairment or Dementia in Older Women
Diem, S. J., Blackwell, T., Stone, K. L., Yaffe, K. S., Tranah, G. J., Cauley, J. A., Ancoli‐Israel, S., Redline, S. S., Spira, A. P., Hillier, T. A., et al. (2016) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2015.12.002 · Cited by 156
CBIR system using Capsule Networks and 3D CNN for Alzheimer's disease diagnosis
Kruthika, K. R., Rajeswari, P., Maheshappa, H., & Initiative, A. D. N. (2019) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2018.12.001 · Cited by 145
Shi, Q., Liu, S., Fonseca, V. A., Thethi, T. K., & Shi, L. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-024954 · Cited by 144
The APOE Gene is Differentially Methylated in Alzheimer’s Disease
Foraker, J. E., Millard, S. P., Leong, L., Thomson, Z., Chen, S., Keene, C. D., Bekris, L. M., & Yu, C. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-143060 · Cited by 143
Sankaranarayanan, S., Barten, D. M., Vana, L., Devidze, N., Yang, L., Cadelina, G. W., Hoque, N., DeCarr, L. B., Keenan, S., Lin, A., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125614 · Cited by 150
Disability-Free Life Expectancy Over 30 Years: A Growing Female Disadvantage in the US Population
Freedman, V. A., Wolf, D. A., & Spillman, B. C. (2016) · American Journal of Public Health · doi:10.2105/ajph.2016.303089 · Cited by 154
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Loke, H., Harley, V. R., & Lee, J. (2015) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2015.05.024 · Cited by 150
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Moulder, K. L., Snider, B., Mills, S. L., Buckles, V. D., Santacruz, A. M., Bateman, R. J., & Morris, J. C. (2013) · Alzheimer's Research & Therapy · doi:10.1186/alzrt213 · Cited by 142
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Guerrero, E. N., Wang, H., Mitra, J., Hegde, P. M., Stowell, S. E., Liachko, N. F., Kraemer, B. C., Garruto, R. M., Rao, K. S. J., & Hegde, M. L. (2016) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2016.09.004 · Cited by 146
Derry, P. J., Hegde, M. L., Jackson, G. R., Kayed, R., Tour, J. M., Tsai, A.-L., & Kent, T. A. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101716 · Cited by 146
Das, U. N. (2021) · Biomolecules · doi:10.3390/biom11020241 · Cited by 145
Hu, M., Shu, X., Yu, G., Wu, X., Valimaki, M. A., & Feng, H. (2021) · Journal of Medical Internet Research · doi:10.2196/20298 · Cited by 144
“Those aged 65 to 74 years account for 17% of cases, while those younger than 65 years could develop dementia, but it is much less common and the prevalence is uncertain [37].”
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Soto, I., Graham, L. C., Richter, H. J., Simeone, S. N., Radell, J. E., Grabowska, W., Funkhouser, W. K., Howell, M. C., & Howell, G. R. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002279 · Cited by 140
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Zhang, L., Silva, T. C., Young, J. I., Gomez, L., Schmidt, M. A., Hamilton-Nelson, K. L., Kunkle, B. W., Chen, X., Martin, E. R., & Wang, L. (2020) · Nature Communications · doi:10.1038/s41467-020-19791-w · Cited by 139
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Harun, A., Oh, E. S., Bigelow, R. T., Studenski, S. A., & Agrawal, Y. (2016) · Otology & Neurotology · doi:10.1097/mao.0000000000001157 · Cited by 135
Nation, D. A., Edmonds, E. C., Bangen, K. J., Delano‐Wood, L., Scanlon, B. K., Han, S. D., Edland, S. D., Salmon, D. P., Galasko, D. R., & Bondi, M. W. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4477 · Cited by 133
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Correro, A. N., & Nielson, K. A. (2019) · Journal of Gay & Lesbian Mental Health · doi:10.1080/19359705.2019.1644570 · Cited by 143
Metadata
- Authors
- Hebert, L. E., Weuve, J., Scherr, P. A., & Evans, D. A.
- Affiliations
- Rush University (US)
- Venue
- Neurology
- Published
- 2013-05-07
- Volume
- 80
- Issue
- 19
- Pages
- 1778-1783
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC3719424
- OpenAlex
- W2071068165
- Cited by
- 2,642
- References
- 19
- Citations by year
- 2026: 81 · 2025: 119 · 2024: 192 · 2023: 167 · 2022: 242 · 2021: 312 · 2020: 317 · 2019: 232 · 2018: 210 · 2017: 212 · 2016: 217 · 2015: 160 · 2014: 129 · 2013: 47
- FWCI
- 131.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Alzheimer's Association
- National Institutes of Health (AG011101)
- National Institute on Aging (RC2AG036650, U01AG012505, R01AG030146, AG011101, R01AG011101, P30AG010161, R01AG021972, R01AG009966)
- National Heart, Lung, and Blood Institute (R01HL084209)
- National Institute of Nursing Research (R01NR009543, R01NR010211)
- National Institute of Environmental Health Sciences (R21ES020404, R01ES010902, R21ES019712)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Keywords
- Alzheimer's disease, dementia prevalence, population projections, older adults, age-specific prevalence, racial differences, educational attainment, population aging, United States
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Female, Forecasting, Humans, Longitudinal Studies, Male, Population Surveillance, United States, Incidence, Censuses
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